Deep learning type inference

Author:

Hellendoorn Vincent J.1,Bird Christian2,Barr Earl T.3,Allamanis Miltiadis4

Affiliation:

1. University of California at Davis, USA

2. Microsoft Research, USA

3. University College London, UK

4. Microsoft Research, UK

Publisher

ACM

Reference33 articles.

1. {n. d.}. flow. https://flow.org/. {n. d.}. flow. https://flow.org/.

2. {n. d.}. mypy. http://mypy-lang.org/. {n. d.}. mypy. http://mypy-lang.org/.

3. {n. d.}. Spectrum IEEE 2017 Top Programming Languages. http://spectrum.ieee. org/computing/software/the-2017-top-programming-languages. {n. d.}. Spectrum IEEE 2017 Top Programming Languages. http://spectrum.ieee. org/computing/software/the-2017-top-programming-languages.

4. {n. d.}. The Microsoft Cognitive Toolkit. https://www.microsoft.com/en-us/ cognitive-toolkit/. Deep Learning Type Inference ESEC/FSE ’18 November 4–9 2018 Lake Buena Vista FL USA {n. d.}. The Microsoft Cognitive Toolkit. https://www.microsoft.com/en-us/ cognitive-toolkit/. Deep Learning Type Inference ESEC/FSE ’18 November 4–9 2018 Lake Buena Vista FL USA

5. {n. d.}. TypeScript. https://www.typescriptlang.org/. {n. d.}. TypeScript. https://www.typescriptlang.org/.

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